Summary
Gianni Trevisiol is a seasoned software architect and engineer with over 25 years of experience building end-to-end client/server systems, embedded hardware/firmware (including custom RTOS), and applied AI algorithms. Currently on Project Kuiper at Amazon after leading foundational networking and eBPF work across Azure, he designs scalable, low-level networking and observability systems deployed across hyperscale environments. He blends deep hands-on engineering—kernel drivers, SoC networking stacks, and manufacturing automation—with customer-facing roles that turned solutions into production at partners like Lenovo, Nestlé, and Walmart. Notably, he contributed to the high-profile microsoft/ebpf-for-windows project, adding module state management, fuzzing optimizations, and Visual Studio 2022 porting refinements. A pragmatic communicator and team collaborator, he excels at translating complex technical trade-offs into strategic, long-term value for customers. Based in Redmond, he pairs an AI-focused academic background with rare cross-domain fluency from embedded silicon to cloud-scale infrastructure.
9 years of coding experience
15 years of employment as a software developer
Istituto Tecnico Industriale "E. Majorana"
Master's degree Computer Science and Mathematics - Artificial Intelligence branch, Master's degree Computer Science and Mathematics - Artificial Intelligence branch at Università degli Studi di Torino
Italian, English